A/B Testing Trading Rules: The 52 Rejected Trades That Changed My Mind
The Question a Filter Should Answer A pullback filter sits in front of an entry signal and decides which setups are allowed through. The usual debate goes like this: the strict variant looks cleaner on the equity curve, the relaxed variant trades more, and someone argues the extra trades are "noise." That argument is almost never tested. It is asserted from the shape of the curve. The right…
A filter placed before an entry signal determines which setups are allowed through. The debate around strict versus relaxed variants centers on whether the relaxed variant trades more noise. The decisive question is whether the incremental set of trades, generated only by the relaxed rule, has positive expectancy. In the analyzed case, the strict rule rejected 52 trades that the relaxed rule accepted.
These 52 trades boasted a 48.1% win rate, a +0.131U expectancy per trade, and a profit factor of 1.50. The less stringent rule was discarding profitable trades. This article focuses on the method, not the specific rule, discussing how to compare two variants' equity curves, analyze the rejected trades, and define the unit of analysis.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
